Uses of Class
com.amazonaws.services.sagemaker.model.HyperParameterTrainingJobSummary

Packages that use HyperParameterTrainingJobSummary

Package	Description
com.amazonaws.services.sagemaker.model

Uses of HyperParameterTrainingJobSummary in com.amazonaws.services.sagemaker.model

Methods in com.amazonaws.services.sagemaker.model that return HyperParameterTrainingJobSummary

Modifier and Type	Method and Description
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.addTunedHyperParametersEntry(String key, String value) Add a single TunedHyperParameters entry
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.clearTunedHyperParametersEntries() Removes all the entries added into TunedHyperParameters.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.clone()
HyperParameterTrainingJobSummary	HyperParameterTuningJobSearchEntity.getBestTrainingJob()
HyperParameterTrainingJobSummary	DescribeHyperParameterTuningJobResult.getBestTrainingJob() A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
HyperParameterTrainingJobSummary	HyperParameterTuningJobSearchEntity.getOverallBestTrainingJob()
HyperParameterTrainingJobSummary	DescribeHyperParameterTuningJobResult.getOverallBestTrainingJob() If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withCreationTime(Date creationTime) The date and time that the training job was created.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withFailureReason(String failureReason) The reason that the training job failed.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withFinalHyperParameterTuningJobObjectiveMetric(FinalHyperParameterTuningJobObjectiveMetric finalHyperParameterTuningJobObjectiveMetric) The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withObjectiveStatus(ObjectiveStatus objectiveStatus) The status of the objective metric for the training job:
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withObjectiveStatus(String objectiveStatus) The status of the objective metric for the training job:
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingEndTime(Date trainingEndTime) Specifies the time when the training job ends on training instances.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingJobArn(String trainingJobArn) The Amazon Resource Name (ARN) of the training job.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingJobDefinitionName(String trainingJobDefinitionName) The training job definition name.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingJobName(String trainingJobName) The name of the training job.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingJobStatus(String trainingJobStatus) The status of the training job.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingJobStatus(TrainingJobStatus trainingJobStatus) The status of the training job.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTrainingStartTime(Date trainingStartTime) The date and time that the training job started.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTunedHyperParameters(Map<String,String> tunedHyperParameters) A list of the hyperparameters for which you specified ranges to search.
HyperParameterTrainingJobSummary	HyperParameterTrainingJobSummary.withTuningJobName(String tuningJobName) The HyperParameter tuning job that launched the training job.

Methods in com.amazonaws.services.sagemaker.model that return types with arguments of type HyperParameterTrainingJobSummary

Modifier and Type	Method and Description
List<HyperParameterTrainingJobSummary>	ListTrainingJobsForHyperParameterTuningJobResult.getTrainingJobSummaries() A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.

Methods in com.amazonaws.services.sagemaker.model with parameters of type HyperParameterTrainingJobSummary

Modifier and Type	Method and Description
void	HyperParameterTuningJobSearchEntity.setBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob)
void	DescribeHyperParameterTuningJobResult.setBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob) A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
void	HyperParameterTuningJobSearchEntity.setOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob)
void	DescribeHyperParameterTuningJobResult.setOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob) If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
HyperParameterTuningJobSearchEntity	HyperParameterTuningJobSearchEntity.withBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob)
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withBestTrainingJob(HyperParameterTrainingJobSummary bestTrainingJob) A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
HyperParameterTuningJobSearchEntity	HyperParameterTuningJobSearchEntity.withOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob)
DescribeHyperParameterTuningJobResult	DescribeHyperParameterTuningJobResult.withOverallBestTrainingJob(HyperParameterTrainingJobSummary overallBestTrainingJob) If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
ListTrainingJobsForHyperParameterTuningJobResult	ListTrainingJobsForHyperParameterTuningJobResult.withTrainingJobSummaries(HyperParameterTrainingJobSummary... trainingJobSummaries) A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.

Method parameters in com.amazonaws.services.sagemaker.model with type arguments of type HyperParameterTrainingJobSummary

Modifier and Type	Method and Description
void	ListTrainingJobsForHyperParameterTuningJobResult.setTrainingJobSummaries(Collection<HyperParameterTrainingJobSummary> trainingJobSummaries) A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.
ListTrainingJobsForHyperParameterTuningJobResult	ListTrainingJobsForHyperParameterTuningJobResult.withTrainingJobSummaries(Collection<HyperParameterTrainingJobSummary> trainingJobSummaries) A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob request returned.